
AWS Diagram MCP Server
Enables users to generate professional AWS architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python code through the diagrams package. Supports customizable styling and secure diagram generation for cloud infrastructure visualization.
README
AWS Diagram MCP Server
Model Context Protocol (MCP) server for AWS Diagrams
This MCP server that seamlessly creates diagrams using the Python diagrams package DSL. This server allows you to generate AWS diagrams, sequence diagrams, flow diagrams, and class diagrams using Python code.
Prerequisites
- Install
uv
from Astral or the GitHub README - Install Python using
uv python install 3.10
- Install GraphViz https://www.graphviz.org/
Installation
Cursor | VS Code |
---|---|
Configure the MCP server in your MCP client configuration.
directly from Git:
{
"mcpServers": {
"aws-diagram-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"--from",
"git+https://github.com/lukeburciu/aws-diagrams-mcp-server@main",
"aws-diagram-mcp-server"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"autoApprove": [],
"disabled": false
}
}
}
Features
The Diagrams MCP Server provides the following capabilities:
- Generate Diagrams: Create professional diagrams using Python code
- Multiple Diagram Types: Support for AWS architecture, sequence diagrams, flow charts, class diagrams, and more
- Customization: Customize diagram appearance, layout, and styling
- Security: Code scanning to ensure secure diagram generation
Quick Example
from diagrams import Diagram
from diagrams.aws.compute import Lambda
from diagrams.aws.database import Dynamodb
from diagrams.aws.network import APIGateway
with Diagram("Serverless Application", show=False):
api = APIGateway("API Gateway")
function = Lambda("Function")
database = Dynamodb("DynamoDB")
api >> function >> database
Development
Testing
The project includes a comprehensive test suite to ensure the functionality of the MCP server. The tests are organized by module and cover all aspects of the server's functionality.
To run the tests, use the provided script:
./run_tests.sh
This script will automatically install pytest and its dependencies if they're not already installed.
Or run pytest directly (if you have pytest installed):
pytest -xvs tests/
To run with coverage:
pytest --cov=awslabs.aws_diagram_mcp_server --cov-report=term-missing tests/
For more information about the tests, see the tests README.
Development Dependencies
To set up the development environment, install the development dependencies:
uv pip install -e ".[dev]"
This will install the required dependencies for development, including pytest, pytest-asyncio, and pytest-cov.
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